摘要
针对到达时间差定位中接收传感器位置信息含有随机误差这一问题,提出了一种线性校正到达时间差定位算法.首先通过引入中间变量将非线性时差定位方程转化为伪线性方程,并利用加权最小二乘估计求得目标位置的初始解;接着通过求解初始位置估计的误差对目标位置初始解进行线性校正,得到目标位置更为精确的最终估计.仿真结果验证了所提算法具有较好的定位性能.
This paper considers the problem of locating a source using time difference of arrival （TDOA） measurements obtained at spatially distributed sensors in the presence of sensor position errors. A linear-correction TDOA localization algorithm that involves closed-form weighted least squares （WLS） optimization only is developed. The proposed method first converts nonlinear TDOA equations into pseudo-linear ones by introducing an intermediate variable and obtains the initial source position estimate using the WLS technique. Then a linear- correction method is applied to improve the initial localization result by estimating and subtracting its positioning error. Simulation results demonstrate the good performance of the proposed method.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2017年第4期106-111,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(61172140
61304264)
关键词
无源定位
到达时间差
站址误差
加权最小二乘估计
克拉美罗界
passive localization
time difference of arrival
sensor position error
weighted least squaresestimation
Cramer-Rao lower bound
